diplomsko delo
Miha Krištofelc (Author), Slavko Žitnik (Mentor)

Abstract

V diplomskem delu se bomo osredotočili na razvoj aplikacije za gradnjo cevovodov z namenom obdelave naravnega jezika. Naš cilj je raziskati trenutne rešitve na trgu in vključiti izboljšave v razvoj nove aplikacije, prilagojene raziskovalcem in splošni javnosti, ki jo zanima ONJ. Za preverjanje uporabnosti aplikacije bomo izvedli uporabniško testiranje, funkcionalno testiranje ter tudi testiranje zmogljivosti. Pri razvoju aplikacije bomo uporabili ustrezna razvojna orodja, kot so Django za razvoj zalednega dela, NextJS za razvoj čelnega dela in Docker za upravljanje z vsebniki. Poleg tega bomo za nadzor različic in varnostno kopiranje kode uporabljali program Git. V zaključku bomo predstavili ocene uporabniške izkušnje, oceno učinkovitosti aplikacije in splošne rezultate diplomskega dela.

Keywords

cevovodi;obdelava naravnega jezika;Docker;vsebniki;podatkovni inženiring;visokošolski strokovni študij;diplomske naloge;

Data

Language: Slovenian
Year of publishing:
Typology: 2.11 - Undergraduate Thesis
Organization: UL FRI - Faculty of Computer and Information Science
Publisher: [M. Krištofelc]
UDC: 004.85:81'322(043.2)
COBISS: 212611331 Link will open in a new window
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Downloads: 1
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Other data

Secondary language: English
Secondary title: Developing an open source framework for natural language processing
Secondary abstract: In thesis, we will focus on the development of a pipeline application for natural language processing. Our aim is to explore current solutions on the market and incorporate improvements into the development of a new application tailored to researchers and the general public interested in NLP. To verify the usability of the application, we will perform user testing, functional testing as well as performance testing. In developing the application we will use appropriate development tools such as Django for backend development, NextJS for frontend development and Docker for container management. In addition, we will use Git for version control and code backup. In conclusion, we will present the user experience evaluations, the performance evaluation of the application and the overall results of the thesis.
Secondary keywords: pipelines;natural language procesing;Docker;containers;data engineering;computer science;diploma;Obdelava naravnega jezika (računalništvo);Računalniško jezikoslovje;Računalništvo;Univerzitetna in visokošolska dela;
Type (COBISS): Bachelor thesis/paper
Study programme: 1000470
Embargo end date (OpenAIRE): 1970-01-01
Thesis comment: Univ. v Ljubljani, Fak. za računalništvo in informatiko
Pages: 1 spletni vir (1 datoteka PDF (55 str.))
ID: 25443797